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Job Description:
The Edge AI & Vision FAE delivers expert technical support to facilitate the integration of Microchip solutions and Hailo technologies into customer applications. Focusing on the Hailo NPU (Neural Processing Unit) and VPU (Vision Processing Unit) product portfolios, this role bridges deep learning model optimization with embedded Linux platforms to enable seamless AI acceleration on MPU and processor-based architectures.
The candidate will leverage hands-on expertise in Linux driver porting, HailoRT runtime integration, and GStreamer-based video pipeline debugging to guide customers through complex system integration challenges.
Working closely with global Business Unit (BU) teams, the Edge AI & Vision FAE will ensure the rapid resolution of field technical issues and customer requirements. Additionally, this role serves as a key voice of the customer, delivering strategic market feedback to expand Microchip’s technology leadership and business presence in the rapidly growing Edge AI market.
Job Responsibilities
- Be an expert in Hailo products
- Have a deep technical comprehension of the product features (both SW and HW) and product roadmap.
- Master Microchip Hailo products technical messaging to support business development and sales processes.
- Identify Customer Needs and Business Opportunities
- Understand the customer’s technical use case for Hailo technology and the customer’s system comprehensively.
- Analyze customer requirements and document gaps in the Hailo solution. Report them and proactively work to close these gaps.
- Manage a technical alignment process with customers to communicate status to customers, derive a technical work plan with the customer and generate feedback to Hailo business unit.
- Proactively help the customer evaluate and integrate the Hailo solution and help the customer to reach productization of their product when it comes to the Hailo solution.
- Be a team player
- Work closely and collaborate with Japan Sales and Engineering members and Hailo business unit to conquer business milestones and work with Hailo product team to drive new product requirements.
- Deliver technical support to resolve customer problems and to find new opportunities
- Hailo NPU Software Technical Support: Support customers with quantization, compilation, and optimization of deep learning models such as YOLO, ResNet, and Transformer-based models using the Hailo Dataflow Compiler and HailoRT runtime libraries.
- AI Acceleration Performance Optimization: Leverage the unique Dataflow Architecture of Hailo NPU to guide customers in achieving optimal frame rates (FPS) and memory bandwidth with minimum power consumption on their target platforms.
- VPU / Vision Processing Technical Support: Support customer applications based on VPU (Vision Processing Unit) and vision/video processing solutions, including system integration and performance optimization for AI and vision applications.
- Embedded Linux System Integration: Support Hailo NPU/VPU driver porting and integration in embedded Linux environments, including Kernel and Yocto, and resolve hardware/software integration issues involving PCIe or USB interfaces.
- Key Customer Technical Workshops and Seminars: Provide technical support for key customer workshops, seminars, and technical demonstrations.
Requirements/Qualifications:
Engineering Skill Set Required
- Proficiency in C/C++ and Python, with hands-on experience in embedded Linux environments (e.g., Yocto, Buildroot, or Ubuntu), including kernel drivers, Device Tree configuration, and Board Support Packages (BSP).
- Solid understanding of deep learning models, AI inference, and optimization (quantization, pruning, model conversion) using PyTorch, TensorFlow, and ONNX.
- Experience with Neural Network Compilers/Toolchains for target AI accelerators, including converting/quantizing models to target hardware runtimes.
- Understanding of VPU, Vision SoC, ISP, and camera architecture, with practical knowledge of video streaming and multimedia frameworks (e.g., GStreamer, OpenCV, FFmpeg).
- Understanding of AI accelerator/NPU architectures and performance profiling methodologies (latency, throughput, power optimization).
- Knowledge of HW/SW interface protocols and bus architectures, including PCIe, USB, UART, and I2C, for system-level integration.
- System-level debugging skills (using GDB, kernel tracing, logic analyzers/oscilloscopes) to resolve hardware/software integration and customer-reported issues.
Qualifications and Experience
- Bachelor’s degree in electrical engineering, Computer Engineering, or a related field.
- At least 2 years of professional experience in embedded systems, Edge AI, AI hardware, VPU/Vision Processing, or related development and technical support.
- Experience in developing or supporting AI, computer vision, or AI acceleration solutions is preferred.
- Ability to understand English technical documentation and communicate effectively with HQ engineers and global technical teams.
- Fluent in Japanese (JLPT N1 certification or equivalent) and good English skills (TOEIC 800 or higher).
- Strong customer-facing, communication, and technical presentation skills.
Preferred Qualifications
- NPU / AI Accelerator Ecosystem Experience
- Hands-on experience with third-party AI accelerator platforms such as NVIDIA TensorRT / DeepStream or Intel OpenVINO.
- Global Collaboration Experience
- Experience collaborating with global HQ or overseas engineering teams.
- Experience supporting multiple customers and working effectively across teams.
- Strong English technical writing and communication skills.
Competency
- Strategic/Critical Thinking—Systematically solves problems and hypothesizes possible client pain points, expectations, and implicit needs; brainstorms with team members to devise solutions to solve complex client challenges.
- Communication—Tailor communication to the client’s needs with authority; effectively delivers presentations and has strong verbal and written communication skills.
- Ownership—Goes out of his or her way to complete a task and has relentless drive to achieve results; is independent and self-directed and takes initiative.
- Teamwork—Works collaboratively with team members, shares knowledge, and contributes effectively to achieving common goals.
Benefits
- Microchip’s non-commissioned total compensation and benefits package includes a competitive base salary, bonus aligned with company goals, employee stock purchase program, health insurance coverage, etc.
- Opportunity to manage technical projects at accounts on an entrepreneurial and collaborative basis.
Travel Time:
0% - 25%
To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.